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Methane is a potent greenhouse gas, a relatively clean burning fossil fuel, but also a renewable biofuel when biologically produced from waste treatment plants. Most (~70%) of the global methane emission comes from methanogenic archaea, namely methanogens that produce methane from simple substrates such as H2/CO2, formate, acetate, methanol, and other methylated compounds. Methanogens are found across all corners of the earth, including but not limited to wetlands, animals and humans, rice fields, landfills, sewage, ocean, termites, and hydrothermal vents. Their extensive adaptations to such a wide range of habitats predict a cross-boundary significance of methanogens in many areas such as t...
The two-volume set LNCS 12385 + 12386 constitutes the proceedings of the 15th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2020, which was held during September 13-15, 2020. The conference was planned to take place in Qingdao, China; due to the COVID-19 pandemic it was held virtually. The 67 full and 14 short papers presented in these proceedings were carefully reviewed and selected from 216 submissions. The papers focus on data path algorithms; control path algorithms; network protocol design; network security; network services; and cloud computing.
This book delves into cutting-edge research in cyberspace and outer space security, encompassing both theoretical and experimental aspects. It provides mitigation measures and strategies to address the identified challenges within. It covers a spectrum of topics including techniques and strategies for enhancing cyberspace security, combating ransomware attacks, and securing autonomous vehicles. Additionally, it explores security and surveillance systems involving autonomous vehicles, resilience schemes against security attacks using blockchain for autonomous vehicles, security analysis of autonomous drones (UAVs), the cybersecurity kill chain, the internet of drones (IoD), and cyberspace sol...
This document specifies the requirements for data acquisition, communication, alarm and protection, control, energy state estimation, balance, insulation resistance detection, insulation withstand voltage, electrical adaptability, and electromagnetic compatibility of the battery management system for electric energy storage. It describes corresponding test methods. It stipulates classification and coding, normal working environment, inspection rules, marks, packaging, transportation and storage, etc. This document is applicable to the design, manufacture, test, inspection, operation, maintenance and overhaul of battery management systems for lithium-ion batteries, sodium-ion batteries, lead-acid (carbon) batteries, flow batteries, and water electrolysis/fuel cells for power storage. Other types of battery management systems shall refer to this document for implementation.
Wearable health devices have been an emerging technology that enables an ambulatory acquisition of physiological signals to monitor health status over a long time (hours/days/weeks/years) inside and outside clinical environments. Big data and deep learning, in particular, are receiving a lot of attention in this rapidly growing digital health community. A key benefit of deep learning is to analyze and learn massive amounts of data, which makes it especially valuable in healthcare since raw data is largely gathered from personalized wearable health devices. A wide range of users may benefit from unobstructed and even remote monitoring of pertinent or vital signs, which makes it easier to dete...
Herbs and herbal products are of paramount importance for human health. To beable to guarantee safety and quality, standards and testing methods are needed.Pharmacopoeias contain quality control protocols setting the standards which arethen required by governments. The quality traits are many, including the intrinsicvariables of medicinal plant, e.g. the levels of the active compounds, and the absenceof possibly natural occurring toxic compounds. On the other hand, many qualitytraits are related to agricultural conditions and practices, or to the harvesting andpost-harvest processing. With so many variables, quality control of the end productbecomes extremely complex, time consuming and cost...
This Standard specifies data asset management general principles, management objects, management processes and management assurance requirements. This Standard is applicable to the application and management of data assets of organizations, and users including organizations that need to carry out data asset management and provide data asset management services.